Abstract: The lithium-ion batteries used in electric vehicles have a shorter lifespan than other vehicle components, and the degradation mechanism inside these batteries reduces their life even more.
Abstract: Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this by deriving backpropagation signals through ...
Abstract: This paper presents a new supervised method for segmentation of blood vessels in retinal photographs. This method uses an ensemble system of bagged and boosted decision trees and utilizes a ...
Abstract: Successful new product development advocates for collaboration among different institutions in which technology transfer dispute widely exists. Although several studies have discussed ...
Abstract: In recent years, a step change has been seen in the rate of adoption of Industry 4.0 technologies by manufacturers and industrial organizations alike. This article discusses the current ...
Abstract: This article studies a prescribed performance adaptive robust control (PPARC) scheme for uncertain robotic manipulators. First, a state transformation is introduced to embed the predefined ...
Abstract: In this article, the method of dynamic performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes is ...
Abstract: Spatial–temporal–spectral fusion (STSF) of remote sensing imagery can produce data with the highest spatial and spectral resolution, only as well as fine temporal resolution, by integrating ...
Abstract: In underwater acoustic detection using towed arrays, the in-band radiation noise of the tow-ship generates significant interference. In this article, a high-resolution spatial filter based ...
Abstract: This article presents a method for diagnosing and identifying open-phase fault and current sensor fault in dual three-phase permanent synchronous motor (DTP-PMSM) drives. The fault diagnosis ...
Abstract: Optimal control approaches, such as model predictive control (MPC) and reinforcement learning (RL), are promising for decentralized grid applications but face challenges related to model ...
More Attention and Less Repetitive and Stereotyped Behaviors using a Robot with Children with Autism
Abstract: The aim of the present study was to assess the usefulness of QTrobot, a socially assistive robot, in interventions with children with autism spectrum disorder (ASD) by assessing children's ...
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